表12提供了用户对财富管理系统中电子商务战略的个性化方面的看法。每个指标都基于加权平均值(WM)进行评估,WM是来自用户的平均评级,并根据视的英语翻译

表12提供了用户对财富管理系统中电子商务战略的个性化方面的看法。每个指

表12提供了用户对财富管理系统中电子商务战略的个性化方面的看法。每个指标都基于加权平均值(WM)进行评估,WM是来自用户的平均评级,并根据视觉重要性(VI)评级和相对排名(Rank)进行分类。以下是表12中各项指标的分析结果:个性化推荐的加权平均值为2.79,与最低排名,为4.5。这个分数在“同意”范围内,表明人们普遍同意该网站提供个性化的建议,尽管它不是评分最高的功能之一。巴多特拉和Sundas的两因素理论强调了激励因素在提高个人满意度中的作用(2021).个性化建议可以作为一种激励因素,通过满足用户的成就感和认可感,提高其对服务的满意度.根据Bielozorov,Bezbradica和Helfert(2019)的市场营销理论,满足消费者需求是营销的核心.个性化建议能够更好地满足用户的独特需求,提供更加精准的服务。量身定制的内容和资源(我们的财富管理系统网站上的内容和资源是根据我的特定需求和兴趣量身定制的)的加权平均值为2.83,排名第三。这个分数也在“同意”范围内,这表明用户可以识别并重视定制的内容
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结果 (英语) 1: [复制]
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Table 12 provides users’ perceptions of personalization aspects of e-commerce strategies in wealth management systems. Each metric is evaluated based on the weighted average (WM), which is the average rating from users and classified according to the visual importance (VI) rating and relative ranking (Rank). <br>The following are the analysis results of each indicator in Table 12: <br>the weighted average of personalized recommendations is 2.79, and the lowest ranking is 4.5. This score is in the "agree" range, indicating general agreement that the site provides personalized recommendations, although it is not one of the highest-rated features. Badottra and Sundas' two-factor theory emphasizes the role of motivational factors in improving personal satisfaction (2021). Personalized recommendations can serve as a motivational factor to improve users' satisfaction with services by satisfying their sense of accomplishment and recognition. of satisfaction. According to the marketing theory of Bielozorov, Bezbradica, and Helfert (2019), meeting consumer needs is the core of marketing. Personalized recommendations can better meet the unique needs of users and provide more accurate services. <br>Tailored content and resources (the content and resources on our Wealth Management Systems website are tailored to my specific needs and interests) ranked third with a weighted average of 2.83. This score is also in the "agree" range, indicating that users recognize and value customized content
正在翻译中..
结果 (英语) 2:[复制]
复制成功!
Table 12 provides users' views on the personalized aspects of e-commerce strategies in wealth management systems. Each indicator is evaluated based on weighted average (WM), which is the average rating from users and classified based on visual importance (VI) rating and relative ranking (Rank).<br>The following are the analysis results of various indicators in Table 12:<br>The weighted average of personalized recommendations is 2.79, which is 4.5 compared to the lowest ranking. This score falls within the "agree" range, indicating that people generally agree that the website provides personalized suggestions, although it is not one of the highest rated features. Badotra and Sundas' two factor theory emphasizes the role of motivational factors in improving personal satisfaction (2021). Personalized advice can serve as a motivational factor, increasing user satisfaction with services by satisfying their sense of achievement and recognition. According to Bielozorov, Bezbradica, and Helfert's (2019) marketing theory, Meeting consumer needs is the core of marketing. Personalized recommendations can better meet the unique needs of users and provide more accurate services.<br>The weighted average of tailored content and resources (the content and resources on our wealth management system website are tailored to my specific needs and interests) is 2.83, ranking third. This score is also within the 'agree' range, indicating that users can recognize and value customized content
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
Table 12 provides users' views on the personalized aspects of e-commerce strategy in wealth management system. Each indicator is evaluated based on the weighted average (WM), which is the average rating from users, and classified according to the visual importance (VI) rating and relative ranking (Rank).<br> The following are the analysis results of the indicators in Table 12:<br> The weighted average of personalized recommendation is 2.79, and the lowest ranking is 4.5. This score is in the range of "Agree", indicating that people generally agree that the website provides personalized advice, although it is not one of the highest rated functions. The two-factor theory of Badotra and Sundas emphasizes the role of incentives in improving personal satisfaction (2021). Personalized suggestions can be used as an incentive factor to improve users' satisfaction with services by satisfying their sense of accomplishment and recognition. According to the marketing theory of Bielozorov, Bezbradica and Helfert(2019), satisfying consumers' needs is the core of marketing. Personalized suggestions can better meet users' unique needs and provide more accurate services.<br> Tailored content and resources (the content and resources on our wealth management system website are tailored according to my specific needs and interests) rank third with a weighted average of 2.83. This score is also in the "agree" range, which shows that users can identify and value customized content.
正在翻译中..
 
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